How AI assistants read four-leaf.ai
What a machine reading this site receives: identity files, schema, crawler policy, the entity behind the name. Read weekly by a crawler, no model call. For the people who run Four-Leaf; the catalogue page is for the people who choose it.
72/100
- Entity15/25
- Machine-readable31.5/35
- Retrieval access17/20
- Footprint8.8/20
7 retrieval crawlers are blocked on /applications, /discover, /linkedin, /matches, /resume$
highThe heaviest thing this reading found wrong, named in the words our fix list uses. Read off the site itself, not from a model.
19/100
Does anybody use it: audience (Tranco list, Chrome UX report, estimated organic visits), installs from registries, referring domains. Never votes, never reviews.
- Audience0/40
- Installsnot read
- References13.2/30
100/100
Is anybody home: the homepage answers, the content moves, something ships, somebody hires. Each part a dated reading from a public place; a part not read is left out and the total rescaled.
- Answers30/30
- Content moves30/30
- Shipsnot read
- Hiringnot read
- Four-Leaf72
- Careers medianof 113 rated56
- Atlas medianof 10164 rated58
- Retrieval botspartialverify
Whether the bots that decide citations are let in. Training bots are a separate list and are not counted here.
- llms.txtyesverify
A plain-text index at /llms.txt. Optional; read by some tools.
- Organization schemayes
schema.org Organization markup on the homepage, which is what a resolver reads a company's name and links from.
- Wikidata itemQ139301526
Matched on the official website, never on the name. The substrate under the knowledge graph an engine resolves names against.
- Server-rendered words1.2kswept
What a reader without JavaScript receives from the homepage.
- Identity score90/100swept
The analyzer's crawl-only section, 0-100: identity files, schema, crawler policy, sitemap. Not the analyzer score.
90/100
identity score
Not measured with the analyzer.
The full run asks four engines about this company by name. It runs on request, not on a schedule.
What is Four-Leaf's Atlas Readiness?
72 of 100 on 2026-10-05, computed from four parts — entity, machine-readable, retrieval access, footprint — all four parts read. It places #16 of 113 rated Careers tools.
Does Four-Leaf let AI retrieval bots in?
Partly. On 2026-10-05, four-leaf.ai fenced some paths from retrieval crawlers.
Does Four-Leaf publish an llms.txt?
Yes: four-leaf.ai/llms.txt was present on 2026-10-05.
Is Four-Leaf a Wikidata entity?
Yes: Q139301526, matched on its official website.
How to read a row
- swept
- Read by a crawler: HTTP and parsing, no model call. Every tool, every week.
- measured
- The full analyzer run, asked of four engines. Shown only where the company agreed to show it.
Can a retrieval engine find, resolve and quote this site? Four parts, each read by the sweep, each shown beside the total.
Entity 25 · Machine-readable 35 · Retrieval access 20 · Footprint 20
A part that was never read is left out and the total is rescaled to what was. It is never counted as zero.